Evidence map›Paper›PMID 33172994›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Seasonal and diel patterns of abundance and activity of viruses in the Red Sea.

Gur Hevroni, José Flores-Uribe, Oded Béjà, Alon Philosof

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Article
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  4. Hawaiian Geothermal Fumaroles Contain Diverse and Novel Viruses.bioRxiv : the preprint server for biology · 2026
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  20. Genome sequences of the firstMicrobial genomics · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gur HevroniFaculty of Biology, Technion-Israel Institute of Technology, Haifa 3200000, Israel; hevronig@gmail.com aphilosof@gmail.com.ORCID 0000-0002-2066-0466
José Flores-UribeFaculty of Biology, Technion-Israel Institute of Technology, Haifa 3200000, Israel.ORCID 0000-0002-6229-365X
Oded BéjàFaculty of Biology, Technion-Israel Institute of Technology, Haifa 3200000, Israel.ORCID 0000-0001-6629-0192
Alon PhilosofFaculty of Biology, Technion-Israel Institute of Technology, Haifa 3200000, Israel; hevronig@gmail.com aphilosof@gmail.com.ORCID 0000-0003-2684-8678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virus-microbe interactions have been studied in great molecular details for many years in cultured model systems, yielding a plethora of knowledge on how viruses use and manipulate host machinery. Since the advent of molecular techniques and high-throughput sequencing, methods such as cooccurrence, nucleotide composition, and other statistical frameworks have been widely used to infer virus-microbe interactions, overcoming the limitations of culturing methods. However, their accuracy and relevance is still debatable as cooccurrence does not necessarily mean interaction. Here we introduce an ecological perspective of marine viral communities and potential interaction with their hosts, using analyses that make no prior assumptions on specific virus-host pairs. By size fractionating water samples into free viruses and microbes (i.e., also viruses inside or attached to their hosts) and looking at how viral group abundance changes over time along both fractions, we show that the viral community is undergoing a change in rank abundance across seasons, suggesting a seasonal succession of viruses in the Red Sea. We use abundance patterns in the different size fractions to classify viral clusters, indicating potential diverse interactions with their hosts and potential differences in life history traits between major viral groups. Finally, we show hourly resolved variations of intracellular abundance of similar viral groups, which might indicate differences in their infection cycles or metabolic capacities.

Indexed as

SeasonsAquatic OrganismsDNA, ViralIndian OceanMetagenomeMicrobial InteractionsSeawaterViromeVirusesDNA, Viraldiel oscillationmarine virusesseasonal successionvirus–host interaction

Identifiers

PMID33172994
PMCPMC7703586

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.